Res Synth Methods - Critical interpretation of Cochran's Q test depends on power and prior assumptions about heterogeneity.

Tópicos

{ model(3404) distribut(989) bayesian(671) }
{ general(901) number(790) one(736) }
{ can(774) often(719) complex(702) }
{ chang(1828) time(1643) increas(1301) }
{ extract(1171) text(1153) clinic(932) }
{ signal(2180) analysi(812) frequenc(800) }
{ sampl(1606) size(1419) use(1276) }
{ data(3008) multipl(1320) sourc(1022) }
{ framework(1458) process(801) describ(734) }
{ case(1353) use(1143) diagnosi(1136) }
{ activ(1138) subject(705) human(624) }
{ method(1219) similar(1157) match(930) }
{ studi(1410) differ(1259) use(1210) }
{ studi(1119) effect(1106) posit(819) }
{ model(2656) set(1616) predict(1553) }
{ drug(1928) target(777) effect(648) }
{ estim(2440) model(1874) function(577) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ treatment(1704) effect(941) patient(846) }
{ learn(2355) train(1041) set(1003) }
{ clinic(1479) use(1117) guidelin(835) }
{ design(1359) user(1324) use(1319) }
{ care(1570) inform(1187) nurs(1089) }
{ research(1085) discuss(1038) issu(1018) }
{ state(1844) use(1261) util(961) }
{ data(2317) use(1299) case(1017) }
{ group(2977) signific(1463) compar(1072) }
{ intervent(3218) particip(2042) group(1664) }
{ analysi(2126) use(1163) compon(1037) }
{ health(1844) social(1437) communiti(874) }
{ result(1111) use(1088) new(759) }
{ detect(2391) sensit(1101) algorithm(908) }
{ imag(1947) propos(1133) code(1026) }
{ data(1737) use(1416) pattern(1282) }
{ inform(2794) health(2639) internet(1427) }
{ system(1976) rule(880) can(841) }
{ measur(2081) correl(1212) valu(896) }
{ imag(1057) registr(996) error(939) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
{ featur(3375) classif(2383) classifi(1994) }
{ imag(2830) propos(1344) filter(1198) }
{ network(2748) neural(1063) input(814) }
{ imag(2675) segment(2577) method(1081) }
{ studi(2440) review(1878) systemat(933) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ problem(2511) optim(1539) algorithm(950) }
{ error(1145) method(1030) estim(1020) }
{ concept(1167) ontolog(924) domain(897) }
{ algorithm(1844) comput(1787) effici(935) }
{ method(1557) propos(1049) approach(1037) }
{ data(1714) softwar(1251) tool(1186) }
{ control(1307) perform(991) simul(935) }
{ model(2220) cell(1177) simul(1124) }
{ method(984) reconstruct(947) comput(926) }
{ search(2224) databas(1162) retriev(909) }
{ featur(1941) imag(1645) propos(1176) }
{ howev(809) still(633) remain(590) }
{ data(3963) clinic(1234) research(1004) }
{ risk(3053) factor(974) diseas(938) }
{ perform(999) metric(946) measur(919) }
{ system(1050) medic(1026) inform(1018) }
{ import(1318) role(1303) understand(862) }
{ model(2341) predict(2261) use(1141) }
{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ perform(1367) use(1326) method(1137) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ cost(1906) reduc(1198) effect(832) }
{ gene(2352) biolog(1181) express(1162) }
{ first(2504) two(1366) second(1323) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }

Resumo

We describe how an appropriate interpretation of the Q-test depends on its power to detect a given typical amount of between-study variance (t(2)) as well as prior beliefs on heterogeneity. We illustrate these concepts in an evaluation of 1011 meta-analyses of clinical trials with 4 studies and binary outcomes. These concepts can be seen as an application of the Bayes theorem. Across the 1011 meta-analyses, power to detect typical heterogeneity was low in most situations. Thus, usually a non-significant Q test did not change perceptibly prior convictions on heterogeneity. Conversely, significant results for the Q test typically augmented considerably the probability of heterogeneity. The posterior probability of heterogeneity depends on what t(2) we want to detect. With the same approach, one may also estimate the posterior probability for the presence of heterogeneity that is large enough to annul statistically significant summary effects; that is half the average within-study variance of the combined studies; and that is able to change the summary effect estimate of the meta-analysis by 20%. The discussed analyses are exploratory, and may depend heavily on prior assumptions when power for the Q-test is low. Statistical heterogeneity in meta-analyses should be cautiously interpreted considering the power to detect a specific t(2) and prior assumptions about the presence of heterogeneity. Copyright ? 2010 John Wiley & Sons, Ltd.

Resumo Limpo

describ appropri interpret qtest depend power detect given typic amount betweenstudi varianc t well prior belief heterogen illustr concept evalu metaanalys clinic trial studi binari outcom concept can seen applic bay theorem across metaanalys power detect typic heterogen low situat thus usual nonsignific q test chang percept prior convict heterogen convers signific result q test typic augment consider probabl heterogen posterior probabl heterogen depend t want detect approach one may also estim posterior probabl presenc heterogen larg enough annul statist signific summari effect half averag withinstudi varianc combin studi abl chang summari effect estim metaanalysi discuss analys exploratori may depend heavili prior assumpt power qtest low statist heterogen metaanalys cautious interpret consid power detect specif t prior assumpt presenc heterogen copyright john wiley son ltd

Resumos Similares

Comput Math Methods Med - Bayesian inference of the Weibull model based on interval-censored survival data. ( 0,841990661521061 )
Med Decis Making - Calibration of complex models through Bayesian evidence synthesis: a demonstration and tutorial. ( 0,824492086424145 )
Neural Comput - A semiparametric Bayesian model for detecting synchrony among multiple neurons. ( 0,8152522990848 )
Res Synth Methods - A Bayesian nonparametric meta-analysis model. ( 0,809069732666971 )
Comput Methods Programs Biomed - The exponentiated exponential mixture and non-mixture cure rate model in the presence of covariates. ( 0,801714660576745 )
J Biomed Inform - Link-topic model for biomedical abbreviation disambiguation. ( 0,799529094946761 )
Spat Spatiotemporal Epidemiol - Goodness-of-fit measures for individual-level models of infectious disease in a Bayesian framework. ( 0,784548320087328 )
IEEE Trans Image Process - Bayesian robust principal component analysis. ( 0,78390161377919 )
IEEE Trans Pattern Anal Mach Intell - Modeling Natural Images Using Gated MRFs. ( 0,781443500442559 )
Lifetime Data Anal - Bayesian nonparametric models for ranked set sampling. ( 0,778854453901255 )
Med Decis Making - Assessing uncertainties surrounding combined endpoints for use in economic models. ( 0,777971092427704 )
Lifetime Data Anal - Bayesian semiparametric modeling for stochastic precedence, with applications in epidemiology and survival analysis. ( 0,776196507646751 )
Comput Math Methods Med - Inference for ecological dynamical systems: a case study of two endemic diseases. ( 0,764217199207975 )
Int J Health Geogr - Gumbel based p-value approximations for spatial scan statistics. ( 0,763394998884168 )
IEEE Trans Pattern Anal Mach Intell - Are Gibbs-Type Priors the Most Natural Generalization of the Dirichlet Process? ( 0,762116771381622 )
Lifetime Data Anal - Bayesian local influence for survival models. ( 0,747229512658672 )
IEEE Trans Pattern Anal Mach Intell - Causal Inference on Discrete Data using Additive Noise Models. ( 0,742973189218181 )
J. Comput. Biol. - Computational methods for a class of network models. ( 0,73651687656612 )
J. Comput. Biol. - Characterizing the empirical distribution of prokaryotic genome n-mers in the presence of nullomers. ( 0,734801253962581 )
AMIA Annu Symp Proc - Testing the calibration of classification models from first principles. ( 0,727690044952189 )
IEEE Trans Image Process - Computationally tractable stochastic image modeling based on symmetric Markov mesh random fields. ( 0,727668970063405 )
Med Biol Eng Comput - A poisson process model for hip fracture risk. ( 0,727289217596002 )
IEEE Trans Pattern Anal Mach Intell - Temporal Analysis of Motif Mixtures using Dirichlet Processes. ( 0,724067343693104 )
IEEE Trans Image Process - Probabilistic image modeling with an extended chain graph for human activity recognition and image segmentation. ( 0,72173721556156 )
Med Decis Making - Bayesian calibration of a natural history model with application to a population model for colorectal cancer. ( 0,721183703338792 )
Comput Math Methods Med - Bayesian hierarchical modeling for categorical longitudinal data from sedation measurements. ( 0,715440744760344 )
J. Comput. Biol. - Expectation-maximization algorithm for determining natural selection of Y-linked genes through two-sex branching processes. ( 0,71103589309727 )
Spat Spatiotemporal Epidemiol - Bayesian hierarchical modeling of the dynamics of spatio-temporal influenza season outbreaks. ( 0,710122175596217 )
J. Comput. Biol. - A spatial haplotype copying model with applications to genotype imputation. ( 0,709251757589918 )
IEEE Trans Image Process - Variational Bayesian method for Retinex. ( 0,704263163854957 )
Comput. Biol. Med. - Expectation-maximization technique for fibro-glandular discs detection in mammography images. ( 0,702864418868665 )
Res Synth Methods - Random-effects meta-analysis of time-to-event data using the expectation-maximisation algorithm and shrinkage estimators. ( 0,702630162553507 )
Med Decis Making - Comparing Bayesian and frequentist approaches for multiple outcome mixed treatment comparisons. ( 0,702240807249283 )
IEEE Trans Neural Netw Learn Syst - Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data. ( 0,702077781445244 )
Comput Math Methods Med - An empirical Bayes optimal discovery procedure based on semiparametric hierarchical mixture models. ( 0,702066706925621 )
Med Decis Making - Not simply more of the same: distinguishing between patient heterogeneity and parameter uncertainty. ( 0,69744532934632 )
Comput Methods Programs Biomed - Identification of an integrated mathematical model of standard oral glucose tolerance test for characterization of insulin potentiation in health. ( 0,697292376369388 )
Spat Spatiotemporal Epidemiol - A Bayesian space-time model for discrete spread processes on a lattice. ( 0,694056121747336 )
J. Comput. Biol. - On the inference of dirichlet mixture priors for protein sequence comparison. ( 0,693077531665434 )
IEEE Trans Image Process - A Bayesian framework for image segmentation with spatially varying mixtures. ( 0,691847081944081 )
Artif Intell Med - Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems. ( 0,690765706656832 )
Neural Comput - Attention as reward-driven optimization of sensory processing. ( 0,69060370775156 )
Neural Comput - Universal approximation depth and errors of narrow belief networks with discrete units. ( 0,686814728998082 )
Res Synth Methods - Bayesian model selection for meta-analysis of diagnostic test accuracy data: Application to Ddimer for deep vein thrombosis. ( 0,683081400275102 )
Comput. Biol. Med. - BootstRatio: A web-based statistical analysis of fold-change in qPCR and RT-qPCR data using resampling methods. ( 0,682580181050499 )
IEEE Trans Pattern Anal Mach Intell - Negative Binomial Process Count and Mixture Modeling. ( 0,67861735343706 )
Spat Spatiotemporal Epidemiol - Inference from ecological models: estimating the relative risk of stroke from air pollution exposure using small area data. ( 0,678301371064236 )
IEEE Trans Image Process - Generative Bayesian image super resolution with natural image prior. ( 0,676979960143954 )
Med Decis Making - Estimating multiparameter partial expected value of perfect information from a probabilistic sensitivity analysis sample: a nonparametric regression approach. ( 0,672047063853489 )
Comput Methods Programs Biomed - Life prediction of different commercial dental implants as influence by uncertainties in their fatigue material properties and loading conditions. ( 0,671368531414002 )
IEEE Trans Neural Netw Learn Syst - Robust Novelty Detection via Worst Case CVaR Minimization. ( 0,67068575048497 )
IEEE Trans Pattern Anal Mach Intell - Gaussian Process-Mixture Conditional Heteroscedasticity. ( 0,668376376246317 )
Res Synth Methods - A basic introduction to fixed-effect and random-effects models for meta-analysis. ( 0,668274016382329 )
Neural Comput - Bayesian sparse partial least squares. ( 0,667650093811793 )
Neural Comput - Multistability and perceptual inference. ( 0,664449764100247 )
Comput Math Methods Med - A general framework for modeling sub- and ultraharmonics of ultrasound contrast agent signals with MISO volterra series. ( 0,663657066155142 )
Lifetime Data Anal - A new threshold regression model for survival data with a cure fraction. ( 0,662901887047745 )
AMIA Annu Symp Proc - Learning to predict post-hospitalization VTE risk from EHR data. ( 0,662065827818548 )
Neural Comput - Efficient Markov chain Monte Carlo methods for decoding neural spike trains. ( 0,660029384048942 )
BMC Med Inform Decis Mak - A simulation model of colorectal cancer surveillance and recurrence. ( 0,659502724156077 )
Comput. Biol. Med. - Vector autoregression, structural equation modeling, and their synthesis in neuroimaging data analysis. ( 0,658907475506012 )
J Biomed Inform - Learning patient-specific predictive models from clinical data. ( 0,657601583256281 )
Artif Intell Med - On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks. ( 0,657589083598807 )
Med Decis Making - Accounting for methodological, structural, and parameter uncertainty in decision-analytic models: a practical guide. ( 0,656921809106668 )
Spat Spatiotemporal Epidemiol - A space-time point process model for analyzing and predicting case patterns of diarrheal disease in northwestern Ecuador. ( 0,656535321774874 )
Spat Spatiotemporal Epidemiol - The detection of spatially localised outbreaks in campylobacteriosis notification data. ( 0,655690264550301 )
Brief. Bioinformatics - The dilemma of choosing the ideal permutation strategy while estimating statistical significance of genome-wide enrichment. ( 0,653232045198018 )
IEEE Trans Image Process - Wavelet variance analysis for random fields on a regular lattice. ( 0,653214807367588 )
Res Synth Methods - Automating network meta-analysis. ( 0,646170528268548 )
Comput Methods Programs Biomed - A Bayesian multilevel model for fMRI data analysis. ( 0,645258565583067 )
Comput Math Methods Med - A generalized gamma mixture model for ultrasonic tissue characterization. ( 0,641291774394251 )
Neural Comput - Determination and the no-free-lunch paradox. ( 0,641224500688375 )
IEEE Trans Neural Netw Learn Syst - Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals. ( 0,640414181950199 )
IEEE Trans Image Process - Bayesian estimation of linear mixtures using the normal compositional model. Application to hyperspectral imagery. ( 0,639098873416102 )
Comput Methods Programs Biomed - NIMROD: a program for inference via a normal approximation of the posterior in models with random effects based on ordinary differential equations. ( 0,637110187708563 )
IEEE Trans Image Process - Blind separation of time/position varying mixtures. ( 0,636936708431062 )
Spat Spatiotemporal Epidemiol - Mapping gender variation in the spatial pattern of alcohol-related mortality: a Bayesian analysis using data from South Yorkshire, United Kingdom. ( 0,636298145306312 )
IEEE Trans Image Process - Bayesian inference of models and hyperparameters for robust optical-flow estimation. ( 0,634520421111414 )
Lifetime Data Anal - Diagnostic tools for bivariate accelerated life regression models. ( 0,6275188832734 )
Brief. Bioinformatics - CaliBayes and BASIS: integrated tools for the calibration, simulation and storage of biological simulation models. ( 0,626594876073934 )
Med Decis Making - Linear regression metamodeling as a tool to summarize and present simulation model results. ( 0,62447155357226 )
IEEE Trans Image Process - Posterior-mean super-resolution with a causal Gaussian Markov random field prior. ( 0,622594848693694 )
Lifetime Data Anal - Estimation and assessment of markov multistate models with intermittent observations on individuals. ( 0,622455213828914 )
IEEE Trans Image Process - Blind image quality assessment: a natural scene statistics approach in the DCT domain. ( 0,620879791852285 )
IEEE Trans Image Process - On random field Completely Automated Public Turing Test to Tell Computers and Humans Apart generation. ( 0,620177260450405 )
Neural Comput - Bayesian community detection. ( 0,619333452953098 )
IEEE Trans Image Process - A Bayesian hierarchical factorization model for vector fields. ( 0,617965663926691 )
Lifetime Data Anal - Proportional hazards models with discrete frailty. ( 0,616252943146872 )
IEEE Trans Image Process - Counting people with low-level features and Bayesian regression. ( 0,616142005521512 )
Neural Comput - Multiple tests based on a gaussian approximation of the unitary events method with delayed coincidence count. ( 0,615893694255436 )
IEEE Trans Image Process - A study of multiplicative watermark detection in the contourlet domain using alpha-stable distributions. ( 0,614725314598236 )
IEEE Trans Image Process - Statistical modeling of 3-D natural scenes with application to Bayesian stereopsis. ( 0,612249900642893 )
IEEE Trans Image Process - Modeling and classifying human activities from trajectories using a class of space-varying parametric motion fields. ( 0,610351559824803 )
Comput Methods Programs Biomed - Multivariate Bayesian modeling of known and unknown causes of events--an application to biosurveillance. ( 0,608828596624406 )
IEEE Trans Image Process - Studentized dynamical system for robust object tracking. ( 0,608259190576367 )
Lifetime Data Anal - A consistent NPMLE of the joint distribution function with competing risks data under the dependent masking and right-censoring model. ( 0,607333733869753 )
Med Decis Making - The combined analysis of uncertainty and patient heterogeneity in medical decision models. ( 0,606673290165738 )
J. Comput. Biol. - Bayesian blind source separation for data with network structure. ( 0,606424184573155 )
Spat Spatiotemporal Epidemiol - Foot and mouth disease revisited: re-analysis using Bayesian spatial susceptible-infectious-removed models. ( 0,602510994188135 )
J Integr Bioinform - Analyzing phylogenetic trees with timed and probabilistic model checking: the lactose persistence case study. ( 0,601798453895099 )